Built by traders, product people and risk-first operators.
SkillEdge AI is not built as another signal feed. It is built like a trading desk: market intelligence, setup logic, journal feedback, execution review and a process that makes the trader sharper over time.
Aida grew from Almaty fintech research into market data design. She owns the logic that turns noisy tickers into a usable trader shortlist.
Niamh builds the learning layer: simple explanations, playbooks and trader workflows that make signals educational instead of blind.
What this team is building.
A trade idea is not serious until entry, invalidation and RR are clear.
Every alert should explain setup, trigger, risk and what cancels the idea.
PnL alone is not enough. The system must show execution quality and repeated mistakes.
The better the journal, the better the system can identify strong and weak patterns.
A premium trading process, not another noisy tool.
SkillEdge AI is being built for traders who want structure, discipline, market context and a serious feedback loop.